Senior/Staff Machine Learning Engineer

Dexterity, Inc.; Redwood City (CA); On-site; USD 170,000 - 225,000; Full time

Job summary

A leading company in robotics is seeking a Senior/Staff Machine Learning Engineer to develop cutting-edge ML models for computer vision applications. The role involves managing the full lifecycle of ML models, from data collection to deployment, and requires expertise in platforms like PyTorch and TensorFlow, along with strong programming skills in C++ and Python. Join a diverse team dedicated to transforming warehouse automation through innovative robotics solutions.

Qualifications

• 5+ years of experience in building, training, and deploying ML models.
• Strong skills in C++ and Python.
• Experience with RGBD datasets and point clouds.

Responsibilities

• Build and augment ML models for computer vision.
• Manage ML pipelines and ensure low-latency inference.
• Troubleshoot and optimize interconnected systems.

Skills

Machine Learning

Computer Vision

C++

Python

Cloud Infrastructure

Git

CI Pipelines

Education

BS/MS/Ph.D. in Computer Science, Machine Learning, or related

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

Join to apply for the Senior/Staff Machine Learning Engineer role at Dexterity, Inc.

This range is provided by Dexterity, Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$170,000.00/yr - $225,000.00/yr

In this role at Dexterity, you will work on building Machine Learning models for computer vision. Responsibilities include understanding current systems, augmenting and developing ML models, updating and scaling ML pipelines, and leveraging expertise in semantic and instance segmentation using platforms like PyTorch and TensorFlow. Experience with RGBD datasets, point clouds, ML and CV for autonomous vehicles or robotics, and proficiency in C++ and Python are critical. Familiarity with cloud infrastructure for training and deployment pipelines is also required. The role demands building high-performance models for low-latency inference, managing the full lifecycle from data collection to deployment, troubleshooting, and optimization.

About Dexterity: At Dexterity, we believe robots can positively transform the world by automating repetitive and physically demanding tasks, starting with warehouse automation. Our full-stack robotics systems are software-driven, hardware-agnostic, and have successfully handled over 15 million goods. We are backed by top investors and foster a diverse, passionate culture.

Required Skills: BS/MS/Ph.D. in CS, ML, or related; 5+ years of experience; building, training, deploying ML models with PyTorch and TensorFlow; strong C++ and Python skills; experience with profilers, debuggers, serving architectures, cloud infrastructure, and troubleshooting interconnected systems; familiarity with Git and CI pipelines.

Nice to haves: Experience with Docker, Kubernetes, startup environment.

We are an equal opportunity employer valuing diversity and do not discriminate based on race, religion, gender, etc. Compensation includes base salary, benefits, and potential equity, determined case-by-case.

Additional details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Engineering and IT
• Industries: Software Development